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Record W2055406681 · doi:10.1174/021037009788001824

Education and literacy

2009· article· es· W2055406681 on OpenAlexaff
David R. Olson

Bibliographic record

VenueJournal for the Study of Education and Development Infancia y Aprendizaje · 2009
Typearticle
Languagees
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLiteracyMeaning (existential)Reading (process)Critical literacySocial practicePsychologyPedagogyPower (physics)Mathematics educationLinguisticsSociologyHistory

Abstract

fetched live from OpenAlex

Basic literacy, the mere ability to read and write, is relatively easily mastered by children so long as the signs of the writing system map on to comprehensible properties of the learner's speech and appropriate learning environments are available (Venezky, 2004). But that skill in itself has little to do with turning literacy into an instrument of use and power. Reading is a social practice in which readers and writers engage with text for quite different purposes and some of these ways of dealing with written texts are sufficiently different from the more basic processes of learning to read and write that they are more correctly described by a second meaning of literacy, namely, literacy as an acquaintance with literature or academic literacy; meaning the ability to deal with an encyclopedic range of written materials. The community of readers evolve conventions for reading and interpreting documents and texts as well as for writing new texts that may take years to master. There is a third concept of literacy: societal literacy (Elwert, 2001), which refers to the kind of literacy that underwrites a modern bureaucratic society. The criteria to be met, if one is to be judged as achieving any of these concepts of literacy, are importantly different. Besides, the concepts of basic and advanced levels of literacy are embarrassingly close to those at play in much current educational practice. And, like that practice, they are limited in the sense that highlighting the criteria leaves hidden the social communicative practices that these criteria are designed to serve. The danger of enumerating criteria is that, too readily, they become the direct object of instruction rather than remaining, as they should be, specialised devices for advancing communication and understanding in particular domains.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.011
Scholarly communication0.0080.005
Open science0.0000.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0250.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.395
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations41
Published2009
Admission routes1
Has abstractyes

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